Data Engineer

Luxoft; Dadri, Hyderabad; On-site; INR 1,300,000 - 2,100,000; Full time

Job summary

Luxoft is seeking an experienced AWS/Data Engineering professional to design, develop, and maintain AWS-based data integration pipelines converting relational data into knowledge graphs on Amazon Neptune. You will craft RDF models, optimize SPARQL and SQL, and build Python-based data transformation frameworks to support ontology-driven metadata management.

Responsibilities include ensuring scalability and reliability of AWS data platforms, aligning with data governance and quality standards, and

Qualifications

• Amazon Neptune (RDF Knowledge Graphs).
• AWS Data Services (S3, Glue, Lambda, Step Functions, Athena, RDS).
• SQL development and data modeling.
• Python for ETL, data transformation, and automation.
• RDF, SPARQL, and semantic data modeling.
• Relational-to-Graph data migration.
• Data integration and metadata management.
• Data quality, validation, and governance.
• Graph query optimization and performance tuning.
• CI/CD and Infrastructure as Code (Terraform).

Responsibilities

• Design and build data pipelines to ingest and transform data from relational databases into Amazon Neptune.
• Develop RDF models and semantic representations of enterprise data.
• Create and optimize SQL and SPARQL queries for analytics and data retrieval.
• Develop Python-based frameworks for data transformation, validation, and automation.
• Support ontology-driven and metadata-centric data integration initiatives.
• Ensure scalability, reliability, and operational excellence of AWS data platforms.

Skills

Amazon Neptune

AWS

SPARQL

SQL

CI/CD

Tools

Terraform

Job description

Job Description

Project Description:

Design, develop, and maintain AWS-based data integration solutions that transform and connect data from relational databases into enterprise Knowledge Graphs using Amazon Neptune. The role requires strong expertise in SQL, Python, and semantic data modeling to deliver scalable, high-quality data pipelines and graph-based data solutions that enable knowledge discovery, metadata management, and cross-domain data integration.

Responsibilities:

Design and build data pipelines to ingest and transform data from relational databases into Amazon Neptune.

Develop RDF models and semantic representations of enterprise data.

Create and optimize SQL and SPARQL queries for analytics and data retrieval.

Develop Python-based frameworks for data transformation, validation, and automation.

Support ontology-driven and metadata-centric data integration initiatives.

Ensure scalability, reliability, and operational excellence of AWS data platforms.

Mandatory Skills:

Amazon Neptune AWS CI/CD SPARQL SQL

Mandatory Skills Description:

Amazon Neptune (RDF Knowledge Graphs)

AWS Data Services (S3, Glue, Lambda, Step Functions, Athena, RDS)

SQL Development & Data Modeling

Python for ETL, Data Transformation, and Automation

RDF, SPARQL, and Semantic Data Modeling

Relational-to-Graph Data Migration

Data Integration & Metadata Management

Data Quality, Validation, and Governance

Graph Query Optimization & Performance Tuning

CI/CD and Infrastructure as Code (Terraform)